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Genomics and Proteomics Engineering in Medicine and Biology - Metin Akay

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274 TUMOUR AND TUMOUR SUPPRESSOR PROTEINS

FIGURE 10.5. Continued.

10.3. RESULTS AND DISCUSSIONS

275

FIGURE 10.5. Continued.

RRM characteristic frequency is a relevant parameter for mutual recognition between biomolecules and is significant in describing the interaction between proteins and their substrates or targets. Therefore, it is concluded that the RRM characteristic frequency may dictate the specificity of the protein interactions [9].

From Figure 10.3d we can observe only one dominant peak corresponding to the common frequency component for the combined group of T-antigen and p53 proteins at f ¼ 0.2021 + 0.048, S/N ¼ 312.36. Analogous results were obtained in the analysis of interactions between T-antigen and pRb proteins. A single

TABLE 10.5 Peak Frequency and Signal-to-Noise Ratio Values of Protein Groups

 

 

 

 

 

 

Standard Error,

Protein Group

Frequency

S/N

No. Sequence

1/No. Seq.

 

 

 

 

 

 

 

 

 

 

 

 

 

Melatonin, T-antigen

 

0:0205

 

447.57

36

0.028

Melatonin, Agnoprotein

0.3359

 

274.32

37

0.027

Melatonin, Agnoprotein,

0.3359

 

211.13

45

0.022

T-antigen

 

 

 

 

 

 

 

 

 

 

 

 

Melatonin, p53

 

0:0215

 

512.76

41

0.024

 

 

 

 

 

 

 

Melatonin, pRb

0:0205

 

487.00

37

0.027

 

 

 

 

 

 

 

Melatonin, p53, pRb

0:0215

 

512.50

50

0.020

 

 

 

 

 

 

Melatonin, p53, T-antigen

 

0:0215

 

507.15

49

0.020

 

 

 

 

 

 

 

Melatonin, pRb, T-antigen

0:0205

 

500.93

45

0.022

 

 

 

 

 

 

 

Melatonin, p53, pRb,

0:0215

 

511.70

58

0.017

T-antigen

 

 

 

 

 

 

 

 

 

 

 

 

 

Melatonin, p53, pRb,

0:0215

 

511.67

59

0.017

Agnoprotein

 

 

 

 

 

 

 

 

 

 

 

 

Melatonin, p53, pRb,

 

0:0215

 

498.93

76

0.013

Agnoprotein, T-antigen

 

 

 

 

 

 

 

 

 

 

 

 

 

276 TUMOUR AND TUMOUR SUPPRESSOR PROTEINS

peak corresponding to the protein’s biological activity was identified at f ¼ 0.2041 + 0.059, S/N ¼ 167.12 (Fig. 10.3e). These characteristic frequencies are very close to each other (Table 10.3), and they overlap with each other within the calculation error, indicating their mutual recognition. Therefore, we can conclude that this identified frequency can be considered a characteristic feature of the mutual interactions between the analyzed proteins, T-antigen and p53 and T-antigen and pRb, respectively, that might cause cell damage and tumor induction in the brain.

Finally, we also explored the possibility of a mutual three-component interaction between T-antigen, p53, and pRb proteins by applying the RRM cross-spectral analysis to all three functional groups of proteins. Interestingly, we have found that there is a very prominent frequency component (Fig. 10.3f) at f ¼ 0.2021 + 0.033, S/N ¼ 506.28 (Table 10.3) shared by all analyzed sequences. It should be noted that this frequency is the same (within the calculation error of +0.033) as the characteristic frequency of T-antigen and pRb proteins (Fig. 10.3e) and of T-antigen and p53 proteins, respectively (Fig. 10.3d). Thus, the results obtained indicate the common characteristic frequency for all three interacting proteins—T-antigen, p53, and pRb proteins—at f ¼ 0.2021, which is a characteristic feature of tumor formation. This would confirm the RRM main concept that proteins and their targets recognize/interact with each other based on the same (similar) characteristic frequency. Consequently, we conclude that the

FIGURE 10.6. Multiple cross-spectral function of protein groups: (a) Melatonin and T-antigen, (b) Melatonin and Agnoprotein, (c) Melatonin, T-antigen and Agnoprotein, (d) Melatonin and p53, (e) Melatonin and pRb, ( f ) Melatonin, p53 and pRb, (g) Melatonin, pRb and T-antigen, ( j) Melatonin, p53, pRb, T-antigen, (k) Melatonin, p53, pRb, Agnoprotein, and (l) Melatonin, p53, pRb, Agnoprotein, T-antigen. Prominent peaks were found for Melatonin and T-antigen at fy ¼ 0.0205 and Melatonin, T-antigen, Agnoprotein at fz ¼ 0.3359.

10.3. RESULTS AND DISCUSSIONS

277

FIGURE 10.6. Continued.

278 TUMOUR AND TUMOUR SUPPRESSOR PROTEINS

FIGURE 10.6. Continued.

10.3. RESULTS AND DISCUSSIONS

279

FIGURE 10.6. Continued.

280 TUMOUR AND TUMOUR SUPPRESSOR PROTEINS

three-component interaction between T-antigen, p53, and pRb proteins can be considered as a crucial condition in the process of brain tumor formation.

Also it can be observed from the two cross-spectral functions of agnoprotein and T-antigen proteins (Figs. 10.4a and 10.4b) that characteristic frequencies of these protein groups are different, leading to the conclusion that agnoprotein and T-antigen protein will not interact with each other (Table 10.5). Interestingly to, the same conclusion was withdrawn after finalizing the experimental study using the T-antigen and agnoprotein [24]. Results of our computational analysis suggest that only a four-component interaction between agnoprotein, T-antigen, p53, and pRb proteins (Fig. 10.4e) gives the same characteristic frequency at f ¼ 0.2021 (characteristic feature of tumor development). Therefore it can be postulated that a possible interaction between agnoprotein and pRb tumor suppressor proteins may lead to the inactivation of pRb functionality that can initiate a process of a tumor formation.

10.3.3. HSP and Tumour Suppressor Protein Interactions

Here 30 HSP sequences, 13 p53 protein sequences, and 9 pRb protein sequences were investigated concerning the understanding of the structure–function relationship within these proteins. A multiple cross-spectral analysis was performed for each selected protein group as well as for their mutual combination using the EIIP values (Figs. 10.7a to 10.7f ). As a result, characteristic frequencies of analyzed protein groups were obtained and are shown in Table 10.6. Also Continuous Wavelet Transform (CWT) was used for the determination of functional active sites of mouse HSP70/HSP90 protein (Fig. 10.8).

Initially the structure–function analysis was applied to a group of 30 HSP sequences, and two peak frequencies were identified in their multiple crossspectrum: f1 ¼ 0.0195 + 0.033 characterizing HSP’s immunoregulatory activity and f2 ¼ 0.4248 + 0.033 (the same frequency was identified for Fibroblast Growth Factor (FGF) proteins in our previous studies [9, 19]) that characterize the ability to regulate cell growth and differentiation (Fig. 10.7a).

The same procedure was repeated with p53 and pRb tumor suppressor proteins (Figs. 10.7b and 10.7d). The p53 tumor suppressor gene is one of the genes most often mutated in human cancers. Its mainly point mutations lead to amino acid substitutions in the central region of the protein and thus cause its abnormal function. The prominent characteristic frequencies of p53 and pRb tumor suppressor proteins were identified at f ¼ 0.4326 + 0.077 and f ¼ 0.4316 + 0.111, respectively.

The similarity of characteristic frequencies of p53 and pRb proteins (Figs. 10.7b and 10.7d) is expected as both p53 and pRb proteins have the same biological function—tumor suppression. Thus, it has been suggested that the frequency f ¼ 0.4316 identified within the RRM analysis be considered as a characteristic feature of the specific biological activity of p53 and pRb proteins—regulation of cells growth and proliferation—and consequently ability to prevent tumor formation.

As was mentioned above in the consensus spectrum of HSPs (Fig. 10.7a), we can observe two peaks with different amplitude ratios. One prominent peak at

FIGURE 10.7. Multiple cross-spectral function of protein groups: (a) HSP proteins, (b) p53 proteins, (c) HSP and p53 proteins, (d) pRb proteins, (e) HSP and pRb proteins, and ( f ) HSP, p53 and pRb proteins. The prominent peaks were found for HSPs at fHSP ¼ 0.0195 and HSP, p53, pRb at f2 ¼ 0.4316.

282 TUMOUR AND TUMOUR SUPPRESSOR PROTEINS

FIGURE 10.7. Continued.

 

 

 

 

 

10.3. RESULTS AND DISCUSSIONS

283

TABLE 10.6 Peak frequency and Signal-to-Noise Values of Proteins Analysed

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Standard Error,

Protein Group

Frequency

S/N

No. Sequence

1/No.

 

 

 

 

 

 

 

 

 

HSP

0.0195

 

277.24

30

0.033

 

 

 

 

 

 

 

 

 

p53

0:4326

 

159.97

13

0.077

 

 

 

 

 

 

 

 

 

HSP, p53

0:4277

 

295.95

43

0.023

 

 

 

 

 

 

 

 

 

pRb

0:4316

 

164.28

9

0.111

 

 

 

 

 

 

 

 

 

HSP, pRb

0:4287

 

505.94

39

0.026

 

 

 

 

 

 

 

 

 

HSP, p53, pRb

0:4287

 

438.19

51

0.020

 

 

 

 

 

 

 

 

 

f ¼ 0.0195 + 0.033 corresponds to the HSP’s common biological activity— immunological ability to defend cells against environmental stresses. However, the existence of another less significant peak at f ¼ 0.4248 + 0.033 reveals that HSPs can participate in more than one biological process (interact with other proteins). This frequency identified for HSPs is of great importance as it is the same (within the calculation error) as was determined for p53 and pRb tumor suppressors (Figs. 10.7b and 10.7d). This would confirm the RRM main postulate that proteins and their targets recognize/interact with each other on the basis of the same (similar) characteristic frequency underlying the possibility for HSPs and p53 and pRb proteins to be involved in the same biological process (interact with each other). Analyzing the mutual interactions between HSPs and p53 and pRb, respectively

FIGURE 10.8. CWT scalogram of Hsp70/Hsp90 protein (mouse) using Morlet function. The abscissa represents the position of amino acids in the protein molecule; ordinate is the continuous scale (from 1 to 10).